Bielefeld Center for Data Science

Data science is an interdisciplinary and holistic approach that aims at turning data into knowledge and value. It includes

  • the extraction, preparation, exploration, transformation, storage and retrieval of quantitative (“structured”) and qualitative (“unstructured”) data

as well as

  • the explanation, interpretation and exploitation of results using techniques from
  • statistics, computer science and a wide range of application areas.

In addition, data science focuses on the (further) development of new methods and competencies as well as on research data management and data security.

Data Science-"Life Cycle"

Grafic Data Science Life Cycle

Bielefeld Center for Data Science (BiCDaS) is a university-wide initiative encompassing a wide range of disciplines interested in data science. It combines existing expertise in

  • statistics, machine learning and research data management

as well as in application areas such as (in alpha order)

  • biology, business administration, computer science, data management, economics, information technology, digital humanities, law, librarianship, linguistics, physics, psychology, public health and sociology

in order to turn quantitative (“structured”) and qualitative (“unstructured”) data into knowledge and value.

The center acts as a focal point for researchers and students who enjoy the profound exchange on new challenges and solutions in data science.

Key Elements of BiCDaS

Grafic Data Science Life Cycle


Data Science Master Program

Application for the newly established Master Program on Data Science is now open.


Final Lecture online

All the recordings of our lecture series on Data Science are now online.

have a look...

BiCDaS in the Media

Recently BiCDaS and the future master degree course on Data Science a Bielefeld University were covered in an article by Frankfurter Allgemeine Zeitung (FAZ).

The article can be found here.

Past news

Data Science Day 2018

On May 23rd the first Data Science Day at Bielefeld University will take place


Data Science @ RCM²-Colloquium

On Wednesday 2nd of May Scott Balchin (Warwick/Sheffield) will give a Data Science-related talk in the RCM² colloquium.



BiCDaS member Prof. Ellen Baake has been elected to the board of the European Society for Mathematical and Theoretical Biology (ESMTB). Congratulations!


12th CeBiTec-Symposium

Date: March 19th - 21th, 2018
Place: ZiF, Bielefeld University

Aim: This years Symposium will be about BigData. BiCDaS is co-organiser.

Fifth Lecture online

The fifth lecture of our lecture series on Data Science in online.

have a look...

Big Data Science in Astroparticle Research

Date: February 19th - 21st, 2018
Place: RWTH Aachen University

Aim: The Workshop will deal with the application of methods from Data Science and BigData (particularly Deep Learning) to astrophysics.

Lecture Series Data Science

This winter term we offer a lecture series on Data Science.

Data Intensive Science

The next talk of the lecture series Data Science will be on February 2nd.